Adversarial Deep Learning: A Survey on Adversarial Attacks and Defense Mechanisms on Image Classification. - Samer Y. Khamaiseh; Derek Bagagem; Abdullah S. Al-Alaj; Mathew Mancino; Hakam W. Alomari (IEEE Access, 2022)

Target-X: An Efficient Algorithm for Generating Targeted Adversarial Images to Fool Neural Networks. - Samer Y. Khamaiseh; Derek Bagagem; Abdullah S. Al-Alaj; Mathew Mancino; Hakem Alomari; Ahmed Aleroud (COMPSAC, 2023)

Fool 'Em All - Fool-X: A Powerful & Fast Method for Generating Effective Adversarial Images. - Samer Y. Khamaiseh; Mathew Mancino; Deirdre Jost; Abdullah S. Al-Alaj; Derek Bagagem; Edoardo Serra (IEEE Big Data, 2024)